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DBMS > EJDB vs. Greenplum vs. Infobright vs. SQL.JS

System Properties Comparison EJDB vs. Greenplum vs. Infobright vs. SQL.JS

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Editorial information provided by DB-Engines

Name

Description

Embeddable document-store database library with JSON representation of queries (in MongoDB style)

Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database

A logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.

High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend

Port of SQLite to JavaScript

Primary database model

Relational DBMS

Relational DBMS

Relational DBMS

Secondary database models

Document store
Spatial DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.13
Rank	#331	Overall
	#46	Document stores

Score	7.71
Rank	#46	Overall
	#29	Relational DBMS

Score	0.88
Rank	#198	Overall
	#92	Relational DBMS

Score	0.53
Rank	#246	Overall
	#115	Relational DBMS

Website

github.com/Softmotions/ejdb

ignitetech.com/softwarelibrary/infobrightdb

Technical documentation

github.com/Softmotions/ejdb/blob/master/README.md

docs.greenplum.org

sql.js.org/documentation/index.html

Developer

Softmotions

Pivotal Software Inc.

Ignite Technologies Inc.; formerly InfoBright Inc.

Alon Zakai

enhancements implemented by others

Initial release

2012

2005

2005

2012

Current release

7.0.0, September 2023

License

Commercial or Open Source

Open Source

GPLv2

Open Source

Apache 2.0

commercial

The open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016

Open Source

Cloud-based only

Only available as a cloud service

no

no

no

no

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C

C

JavaScript

Server operating systems

server-less

Linux

Linux
Windows

server-less, requires a JavaScript environment (browser, Node.js)

Data scheme

schema-free

yes

yes

yes

Typing

predefined data types such as float or date

yes

string, integer, double, bool, date, object_id

yes

yes

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

since Version 4.2

no

no

Secondary indexes

no

yes

no

Knowledge Grid Technology used instead

SQL

Support of SQL

no

yes

yes

yes

SQL-92 is not fully supported

APIs and other access methods

in-process shared library

JDBC
ODBC

ADO.NET
JDBC
ODBC

JavaScript API

Supported programming languages

Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby

C
Java
Perl
Python
R

.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

JavaScript

Server-side scripts

Stored procedures

no

yes

no

no

Triggers

no

yes

no

no

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

none

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica replication

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

no

yes

no

no

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency

none

Foreign keys

Referential integrity

no

typically not needed, however similar functionality with collection joins possible

yes

no

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

no

ACID

ACID

ACID

Concurrency

Support for concurrent manipulation of data

yes

Read/Write Locking

yes

yes

Durability

Support for making data persistent

yes

yes

yes

no

except by serializing a db to a file

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

no

yes

yes

User concepts

Access control

no

fine grained access rights according to SQL-standard

fine grained access rights according to SQL-standard

exploiting MySQL or PostgreSQL frontend capabilities

no

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More resources

DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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